"A server for WeChat messaging and chat" matching MCP servers:

A server that enables users to chat with each other by repurposing the Model Context Protocol (MCP), designed for AI tool calls, into a human-to-human communication system.

Enables users to retrieve GitLab commit records and automatically generate daily work reports that can be sent to WeChat Work groups. Supports querying commits by date and user, with seamless enterprise messaging integration.

This MCP server enables sending notifications, images, files and typing indicators to your own WeChat account through an iLink Bot, exposing a single send_wechat_message tool over Streamable HTTP. It helps deliver build results, task progress or alerts to yourself, with a local admin page for managing tokens and chat history.

MCP server that visualizes Claude conversations as interactive mindmaps, enabling export and optional upload to Navigate Chat.

Wraps Tool and ToolPackage instances from the llm-chat ecosystem behind the Model Context Protocol, enabling stdio and Streamable HTTP transports for MCP servers.

MCP server that enables AI agents to fetch and summarize WeChat public articles, supporting export to HTML, Markdown, Obsidian, Notion, and OneNote.

Neo4j 기반 챗봇 MCP 서버로, 도메인 특화 tool과 Text2Cypher 방식을 조합해 안전하고 정확한 지식그래프 질의응답을 제공합니다.

Enables fetching WeChat public account articles, caching them in SQLite, and reading them as paginated Markdown via MCP, with optional DeepSeek summarization and HTML/Markdown export.

Enables AI applications to manage WeChat Official Accounts through standardized tools for authentication, media uploads, draft creation, article publishing, and permanent material management.

Run free live audience Q&A and polls from your agent: start an AskOne room, add and launch a poll, approve or hide questions and mark them answered, close the room, then read the questions as a FAQ draft and get the results. Free AI moderation. Uses an organization API token from askone.org

An MCP server that turns the Hugging Face Hub into a conversational model picker with a tool-use eval harness to prove the agent actually uses it correctly.

An MCP server that enables AI agents to pause and request human approval or information via Slack, Telegram, or macOS dialogs before proceeding with actions.

Enables autonomous prompt improvement for voice AI agents through feedback analysis, test generation, and iterative testing.

基于MCP协议的聊天桥接服务器，允许多个AI Agent接入同一个聊天室进行对话协作。

Provides MCP (Model Control Protocol) tools for accessing and interacting with Google Chat spaces and messages through OAuth2 authentication.

Enables chatting with an AI waifu character through MCP tools, with user management and dialog history.

Provides over 1,000 creative ways to decline requests across four categories (polite, humorous, professional, and creative). The MCP server wraps a REST API to help users craft professional rejections through natural language interactions.

Enables MCP clients to connect to a privacy-first, self-hostable workout planning and training log, allowing coaching agents to preview and apply program changes while accessing training data through OAuth-protected endpoints.

MCP server providing 29 A-share analysis skills including real-time data, capital flow, limit-up tracking, technical/fundamental analysis, backtesting, risk control, and Xueqiu portfolio tracking, enabling AI agents to execute market research and strategy tasks.

Exposes a local DeepSeek Harness instance to external MCP clients over Streamable HTTP, legacy HTTP+SSE, or a stdio bridge. Enables creating sessions, running multi-turn conversations, reading and full-text searching history, cancelling running turns, and listing or selecting models.

Enables AI agents to search, filter, and monitor curated AI model API free credits and low-cost token promotions through eight tools, four resources, and three prompts — including finding deals expiring soon, checking eligibility and blocked conditions, and producing daily briefs.

Enables agents to run cross-runtime, cross-machine BM25 full-text search over historical conversations from Hermes, Google Antigravity, OpenClaw, Codex, and Claude Code, and to retrieve any past session's full transcript by ID. Queries return only ranked matching snippets, so recall costs no extra tokens or embeddings.

Enables agents to inspect configured LLM models and send chat requests to them, with support for parameter overrides, file-based prompts, and output to files.

Enables AI consciousness continuity and self-knowledge preservation across sessions using the Cognitive Hoffman Compression Framework (CHOFF) notation. Provides tools to save checkpoints, retrieve relevant memories with intelligent search, and access semantic anchors for decisions, breakthroughs, and questions.

Facilitates semantic analysis of chat conversations through vector embeddings and knowledge graphs, offering tools for semantic search, concept extraction, and conversation pattern analysis.

A remote MCP server for Google Chat, deployed on Cloudflare Workers without authentication, enabling tool execution via MCP protocol.

Self-host a realtime voice-call companion for coding agents. Exposes an MCP endpoint that agents can poll as an alternate input stream.

Enables permission-checked search of past chat history that links older messages with the latest activity, returning supporting context such as timestamps, speakers, and surrounding conversation. Authorization is re-verified against current room membership and approved groups on every search, message fetch, and period read.

Provides an intelligent, graph-based memory system for LLM agents using the Zettelkasten principle, enabling automatic note construction, semantic linking, memory evolution, and autonomous graph maintenance with background optimization processes.

A basic Model Context Protocol server implementation that demonstrates core functionality including tools and resources for AI chat applications.